1 citations · 1 across the 2 of their papers we have counts for
4 papers
Model-based quantitative methods to predict irradiation-induced swelling in alloys
Wei Ge, Shijun Zhao, Chenxu Wang +7
Predicting volume swelling of structural materials in nuclear reactors under high-dose neutron irradiations based on existing low-dose experiments or irradiation data with high-dos…
Emerging Oscillating Reactions at the Insulator/Semiconductor Solid/Solid Interface via Proton Implantation
Dechao Meng, Guanghui Zhang, Ming Li +15
Most oscillating reactions (ORs) happen in solutions. Few existing solid-based ORs either happen on solid/gas (e.g., oxidation or corrosion) or solid/liquid interfaces, or at the a…
A High Accuracy Electrical Stopping Power Prediction Model based on Deep Learning Algorithm and its Applications
Xun Guo, Hao Wang, Shijun Zhao +2
Energy loss of energetic ions in solid is crucial in many field, and accurate prediction of the ion stopping power is a long-time goal. Though great efforts have been made, it is s…
Deep-learning interatomic potential for irradiation damage simulations in MoS2 with ab initial accuracy
Hao Wang, Xun Guo, Jianming Xue
Potentials that could accurately describe the irradiation damage processes are highly desired to figure out the atomic-level response of various newly-discovered materials under ir…